Data & Business Analyst
I transform complex data into clear insights and practical business decisions through analysis, visualization, and business thinking.
Data Analysis Business Intelligence Data Visualization
About Me
Data & Business Analyst
I help businesses make sense of their data — turning raw numbers into clear insights, actionable strategies, and better decisions. With a background in data analysis and business intelligence, I focus on the gap between data and action.
I believe data is only valuable when it drives decisions. My approach is to dig deep into the numbers, find the story they tell, and present it in a way that empowers teams to act with confidence.
Future Academy · Business Information Systems (BIS) · Cairo, Egypt
A business-focused academic program combining information systems, business analysis, technology, and analytical thinking.
Portfolio · Case Studies
A short list of projects where analysis turned into something people actually used.
Featured · Business Analytics
A self-serve Power BI suite that turned scattered regional sales reports into one decision-ready view.
Data Analysis
An end-to-end churn study in Python that flagged at-risk subscribers before they cancelled.
Web Application
This very website — a Next.js portfolio whose content, media and case studies are fully managed from a custom admin panel.
Skills & Tools
Technologies, methodologies, and tools I work with daily.
— Analyzing, organizing, and managing data using spreadsheets .
— Querying and analyzing structured data from databases .
— Using Python for data analysis, manipulation, and automation .
— Preparing raw data by fixing errors, duplicates, and inconsistencies .
— Exploring datasets to identify patterns, trends, and relationships .
— Building interactive dashboards and business intelligence reports .
— Creating dashboards that communicate important business metrics .
— Defining and tracking metrics that measure business performance .
— Turning data into structured and actionable business reports .
— Structuring and connecting data for efficient analysis and reporting .
— Identifying and analyzing business and stakeholder requirements .
— Examining business processes to identify issues and opportunities .
— Defining clear requirements based on business objectives .
— Identifying ways to make processes more efficient and effective .
— Clearly documenting requirements, processes, and business needs.
— Creating dynamic dashboards that allow users to explore data .
— Presenting data visually to make insights easier to understand .
— Selecting and designing effective visual representations of data .
— Designing clear reports that communicate key findings and metrics .
— Turning data and insights into a clear and compelling story.
— Evaluating business performance using data and key metrics .
— Identifying patterns and changes over time .
— Using historical data to estimate future trends and outcomes .
— Providing insights that help businesses make informed decisions .
— Analyzing customer behavior, performance, and patterns .
— Writing queries to retrieve, filter, and analyze database information .
— Structuring databases to organize and manage data effectively .
— Retrieving relevant data from different database sources .
— Converting and preparing data for analysis and reporting .
— Organizing and maintaining structured data within databases .
— Automating repetitive tasks and reporting workflows in Excel .
— Using Python to automate data and business processes .
— Automating recurring reports and data preparation tasks .
— Reducing manual work by automating repetitive business processes .
— Improving workflows to make them faster, simpler, and more efficient .
Spreadsheet analysis, reporting, data cleaning, and automation .
Querying, filtering, transforming, and analyzing structured data .
Business intelligence, interactive dashboards, and data visualization .
Interactive data visualization, dashboards, and business intelligence .
Data analysis, automation, and analytical scripting .
Python library for data manipulation, cleaning, and analysis .
Numerical computing and array-based data processing in Python .
Data extraction, transformation, cleaning, and preparation .
Data modeling, calculated measures, and analytical calculations in Power BI .
Relational database querying, management, and data analysis .
Relational database management, SQL querying, data storage, and analysis .
Interactive environment for data analysis, exploration, and visualization .
Version control for tracking and managing code changes .
Code hosting, collaboration, and project version control .
Code editor for data analysis, Python, SQL, and development workflows .
Get in touch
Open to discussing analysis work, data problems worth solving, and projects where better decisions come from better evidence.
